38 citations · 38 across the 3 of their papers we have counts for
4 papers
Parallel Trends as a Spectrum
Kyle Schindl, Joseph Fry, Florian Gunsilius +1
Difference-in-differences (DiD) designs are typically used to identify and estimate average causal effects, even though treatment can affect the entire outcome distribution. This h…
Wasserstein Parallel Transport for Predicting the Dynamics of Statistical Systems
Tristan Luca Saidi, Gonzalo Mena, Larry Wasserman +1
Many scientific systems, such as cellular populations or economic cohorts, are naturally described by probability distributions that evolve over time. Predicting how such a system…
Hierarchical and Density-based Causal Clustering
Kwangho Kim, Jisu Kim, Larry A. Wasserman +1
Understanding treatment effect heterogeneity is vital for scientific and policy research. However, identifying and evaluating heterogeneous treatment effects pose significant chall…
Union Support Recovery in Multi-task Learning
Mladen Kolar, John Lafferty, Larry Wasserman
We sharply characterize the performance of different penalization schemes for the problem of selecting the relevant variables in the multi-task setting. Previous work focuses on th…